Efficient schema-based XML-to-Relational data mapping

Atay, Mustafa; Chebotko, Artem; Liu, Dapeng; Lu, Shiyong; Fotouhi, Farshad

doi:10.1016/j.is.2005.12.008

Cited by 71 publications

(40 citation statements)

References 25 publications

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“…Others (Chung and Jesurajaiah, 2005;Li and Moon, 2001; solve partially the updating problem by creating a gap within the label, but there is still a need for relabeling after consuming the reserved space. Other studies (Fujimoto et al, 2005;Shanmugasundaram et al, 1999;Tan et al, 2005;Chen et al, 2003;Amer-Yahia et al, 2004;Xing et al, 2007a;Atay et al, 2007b) work on storage optimization and create a relational schema depending on XML schema. Redundant data are removed by creating new relation for each recursive child (or inlining some child in parent relation to reduce the number of created relation).…”

Section: Problem Definitionmentioning

confidence: 99%

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Automatic Mapping of XML Documents into Relational Database

Dweib

2013

Advances in Data Mining and Database Management

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Automatic mapping of XML documents into relational database Original CitationDweib, Ibrahim Mohammad (2010) Automatic mapping of XML documents into relational database. Doctoral thesis, University of Huddersfield.This version is available at http://eprints.hud.ac.uk/id/eprint/9701/ The University Repository is a digital collection of the research output of the University, available on Open Access. Copyright and Moral Rights for the items on this site are retained by the individual author and/or other copyright owners. Users may access full items free of charge; copies of full text items generally can be reproduced, displayed or performed and given to third parties in any format or medium for personal research or study, educational or notforprofit purposes without prior permission or charge, provided:• The authors, title and full bibliographic details is credited in any copy; • A hyperlink and/or URL is included for the original metadata page; and • The content is not changed in any way.For more information, including our policy and submission procedure, please contact the Repository

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Section: Problem Definitionmentioning

confidence: 99%

“…Grinev et al, 2004), Object Oriented Database (Chung and Jesurajaiah, 2005) and Relational Database (Zhang and Tompa, 2004a;Shanmugasundaram et al, 1999); (Fujimoto et al, 2005;) (Tan et al, 2005) (Leonardi and Bhowmick, 2005;Atay, 2006;Atay et al, 2007a;Min et al, 2008,Yun andAhlgren and Colliander, 2009) .…”

Section: Chapter 1 Introductionmentioning

confidence: 99%

Automatic Mapping of XML Documents into Relational Database

Dweib

2013

Advances in Data Mining and Database Management

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“…The advantage of this native approach is that XML data can be stored and retrieved in their original formats and no additional mappings or translations are needed. Furthermore, most native-XML databases have the ability to perform sophisticated full-text searches including full thesaurus support, word stubbing (to match all forms of a word: run, ran, running) and proximity searches [16] . Since there are two technologies for XML data management, comparative performance analysis have to be performed to indicate which technology is more appropriate to manage geospatial data stored as GML.…”

Section: Xml Databasesmentioning

confidence: 99%

“…Although various benchmarks had been developed for studying the efficiency of XML databases [19,20,21,22,23,24] most of them concentrate on defining set of queries and specifications for evaluation of XML data management technologies. Other related works consist of evaluation of using various methods for extracting XML data from relational databases [16,25,26] and evaluation of XML query languages [27,28,29] . In this context, no work has been done on the type of data which should be stored in each kind of XML management technology and what kind of queries perform best on each one.…”

Section: Xml Databasesmentioning

confidence: 99%

Publishing Geospatial Data through Geospatial Web Service and XML Database System

Amirian¹,

Alesheikh²

2008

American J. of Applied Sciences

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Abstract:Technically the spatial non-interoperability problem associated with current geospatial processing systems can be categorized as data and access non-interoperability. In GIS community, Open GIS Consortium (OGC) geospatial Web services have been introduced to overcome spatial noninteroperability problem associated with most geospatial processing systems. At the same time, in Information Technology (IT) world, the best solution for providing interoperability among heterogeneous systems is Web services technologies. Geospatial Web services and Web services technologies differ in the way that latter are composed of particular set of technologies and protocols but the former are comprised of defined set of interface implementation specifications which can be implemented with diverse technologies. This research describes and discusses that geospatial Web services which are developed using Web services technologies can provide access interoperability among various geospatial and non-geospatial processing systems. In addition to access interoperability, making use of open and platform independent data standards like Geography Markup Language (GML), data interoperability can be achieved. Meanwhile, proper management of geospatial data necessitates use of efficient and optimized data management systems. In this respect, the study also illustrates the practical evaluation of existing solution for storing and publishing geospatial data as GML. Based on the practical evaluation of this research, coupling native-XML database systems with Web services technologies proved to be an open, interoperable and efficient solution for developing geospatial Web services.

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“…Also, a manual approach better suits partially-structured XML data by giving designers flexibility to apply structure mapping only for data deemed to be sufficiently well structured. This is not true of alternative approaches, i.e., data mining to extract structure from XML documents (Deutsch, Fernandez & Suciu, 1999), and DTD or XML Schema analysis techniques (Lv & Yan, 2006;Penna et al, 2006), such as inlining (Shanmugasundaram et al, 1999;Lu et al, 2003;Atay et al, 2007). In our manual structure mapping, in addition to devising a relational representation of the hierarchical organization of the structured component of the data, we ensured optimal querying of this part by creating sufficient indices.…”

Section: Experimental Designmentioning

confidence: 99%

An Analysis of Relational Storage Strategies for Partially Structured XML

Kader¹,

Eaglestone²,

North³

2008

Proceedings of the Fourth International Conference on Web Information Systems and Technologies

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Abstract:This paper presents a performance analysis of strategies for storing XML data sets in relational databases, focusing on XML datasets that are a combination of structured and semi-structured data. The analysis demonstrates advantages of a hybrid approach combining structure mapping and XML data type instances.However problems remain with current technology with regards to scaling of the approach for large data sets. Also, anomalous results are identified and a threshold at which the cost of data shredding out weighs the advantages of structure mapping.

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Efficient schema-based XML-to-Relational data mapping

Cited by 71 publications

References 25 publications

Automatic Mapping of XML Documents into Relational Database

Automatic Mapping of XML Documents into Relational Database

Publishing Geospatial Data through Geospatial Web Service and XML Database System

An Analysis of Relational Storage Strategies for Partially Structured XML

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